Discovering Structural Equation Modeling Using Stata

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Discovering Structural Equation Modeling Using Stata 13 (Revised Edition)

Author : Alan C. Acock
Publisher : Stata Press
ISBN 13 : 9781597181396
Total Pages : 306 pages
Book Rating : 4.1/5 (813 download)

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Book Synopsis Discovering Structural Equation Modeling Using Stata 13 (Revised Edition) by : Alan C. Acock

Download or read book Discovering Structural Equation Modeling Using Stata 13 (Revised Edition) written by Alan C. Acock and published by Stata Press. This book was released on 2013-09-10 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata’s sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, offering a hands-on approach to learning. A particularly exciting feature of Stata is the SEM Builder. This graphical interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without writing any programming code. When you fit a model with the SEM Builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix and brief examples appear throughout the text.

Discovering Structural Equation Modeling Using Stata

Author : Alan C. Acock
Publisher : Stata Press
ISBN 13 : 9781597181334
Total Pages : 0 pages
Book Rating : 4.1/5 (813 download)

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Book Synopsis Discovering Structural Equation Modeling Using Stata by : Alan C. Acock

Download or read book Discovering Structural Equation Modeling Using Stata written by Alan C. Acock and published by Stata Press. This book was released on 2013-04-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discovering Structural Equation Modeling Using Stata is devoted to Stata’s sem command and all it can do. You’ll learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. The book describes each model along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. Downloadable data sets enable you to run the programs and learn in a hands-on way. A particularly exciting feature of Stata is the SEM Builder. This graphic interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without writing any programming code. When you fit a model with the SEM Builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix, and brief examples appear throughout the text. Requiring minimal background in multiple regression, this practical reference is designed primarily for those new to structural equation modeling. Some experience with Stata would be helpful but is not essential. Readers already familiar with structural equation modeling will also find the book’s State code useful.

Applied Structural Equation Modelling for Researchers and Practitioners

Author : Indranarain Ramlall
Publisher : Emerald Group Publishing
ISBN 13 : 1786358824
Total Pages : 152 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Applied Structural Equation Modelling for Researchers and Practitioners by : Indranarain Ramlall

Download or read book Applied Structural Equation Modelling for Researchers and Practitioners written by Indranarain Ramlall and published by Emerald Group Publishing. This book was released on 2016-12-16 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains in a rigorous, concise and practical manner all the vital components embedded in structural equation modelling. Focusing on R and stata to implement and perform various structural equation models.

Structural Equation Modelling with Partial Least Squares Using Stata and R

Author : Mehmet Mehmetoglu
Publisher : CRC Press
ISBN 13 : 1482227827
Total Pages : 385 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Structural Equation Modelling with Partial Least Squares Using Stata and R by : Mehmet Mehmetoglu

Download or read book Structural Equation Modelling with Partial Least Squares Using Stata and R written by Mehmet Mehmetoglu and published by CRC Press. This book was released on 2021-03-08 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a combination of these. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust estimation approaches, such as consistent PLS-SEM. The traditional and modern estimation methods for PLS-SEM are now readily facilitated by both open-source and commercial software packages. This book presents PLS-SEM as a useful practical statistical toolbox that can be used for estimating many different types of research models. In so doing, the authors provide the necessary technical prerequisites and theoretical treatment of various aspects of PLS-SEM prior to practical applications. What makes the book unique is the fact that it thoroughly explains and extensively uses comprehensive Stata (plssem) and R (cSEM and plspm) packages for carrying out PLS-SEM analysis. The book aims to help the reader understand the mechanics behind PLS-SEM as well as performing it for publication purposes. Features: Intuitive and technical explanations of PLS-SEM methods Complete explanations of Stata and R packages Lots of example applications of the methodology Detailed interpretation of software output Reporting of a PLS-SEM study Github repository for supplementary book material The book is primarily aimed at researchers and graduate students from statistics, social science, psychology, and other disciplines. Technical details have been moved from the main body of the text into appendices, but it would be useful if the reader has a solid background in linear regression analysis.

Discovering Structural Equation Modeling Using Stata

Author : Alan C. Acock
Publisher :
ISBN 13 : 9781597181778
Total Pages : pages
Book Rating : 4.1/5 (817 download)

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Book Synopsis Discovering Structural Equation Modeling Using Stata by : Alan C. Acock

Download or read book Discovering Structural Equation Modeling Using Stata written by Alan C. Acock and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Discovering Structural Equation Modeling Using Stata is devoted to Stata's sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model covered is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, and you are encouraged to run the programs in a hands-on approach to learning. A particularly exciting feature of Stata is the SEM builder. This graphic interface for structural equation modeling allows you to draw publication-quality path diagrams and to fit the models without writing any programming code. When you fit a model with the SIM builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix, and brief examples appear throughout the text. A miminal background in multiple regression is sufficient to benefit from this text. While it would be helpful to have some experience with Stata, it is not essential. Though the primary audience is those who are new to structural equation modeling, those who are already familiar with it will find this text useful for the Stata code it covers. Overall, the text is intended to be practical and will serve as a useful reference --

Generalized Latent Variable Modeling

Author : Anders Skrondal
Publisher : CRC Press
ISBN 13 : 0203489438
Total Pages : 528 pages
Book Rating : 4.2/5 (34 download)

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Book Synopsis Generalized Latent Variable Modeling by : Anders Skrondal

Download or read book Generalized Latent Variable Modeling written by Anders Skrondal and published by CRC Press. This book was released on 2004-05-11 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wi

Interpreting and Visualizing Regression Models Using Stata

Author : MICHAEL N. MITCHELL
Publisher : Stata Press
ISBN 13 : 9781597183215
Total Pages : 610 pages
Book Rating : 4.1/5 (832 download)

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Book Synopsis Interpreting and Visualizing Regression Models Using Stata by : MICHAEL N. MITCHELL

Download or read book Interpreting and Visualizing Regression Models Using Stata written by MICHAEL N. MITCHELL and published by Stata Press. This book was released on 2020-12-18 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models with continuous predictors (modeled linearly, using polynomials, and piecewise), interactions of continuous predictors, categorical predictors, interactions of categorical predictors, and interactions of continuous and categorical predictors. The book also illustrates how to interpret and visualize results from multilevel models, models where time is a continuous predictor, models with time as a categorical predictor, nonlinear models (such as logistic or ordinal logistic regression), and models involving complex survey data. The examples illustrate the use of the margins, marginsplot, contrast, and pwcompare commands. This new edition reflects new and enhanced features added to Stata, most importantly the ability to label statistical output using value labels associated with factor variables. As a result, output regarding marital status is labeled using intuitive labels like Married and Unmarried instead of using numeric values such as 1 and 2. All the statistical output in this new edition capitalizes on this new feature, emphasizing the interpretation of results based on variables labeled using intuitive value labels. Additionally, this second edition illustrates other new features, such as using transparency in graphics to more clearly visualize overlapping confidence intervals and using small sample-size estimation with mixed models. If you ever find yourself wishing for simple and straightforward advice about how to interpret and visualize regression models using Stata, this book is for you.

Stata Structural Equation Modeling Reference Manual-Release 12

Author : College Station Stata Corporation
Publisher :
ISBN 13 : 9781597180979
Total Pages : 294 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Stata Structural Equation Modeling Reference Manual-Release 12 by : College Station Stata Corporation

Download or read book Stata Structural Equation Modeling Reference Manual-Release 12 written by College Station Stata Corporation and published by . This book was released on 2011 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Market Research

Author : Erik Mooi
Publisher : Springer
ISBN 13 : 9811052182
Total Pages : 429 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Market Research by : Erik Mooi

Download or read book Market Research written by Erik Mooi and published by Springer. This book was released on 2017-11-01 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression and descriptive statistics. It is aimed at those wishing to know more about the process, data management, and most commonly used methods in market research using Stata. The book offers readers an overview of the entire market research process from asking market research questions to collecting and analyzing data by means of quantitative methods. It is engaging, hands-on, and includes many practical examples, tips, and suggestions that help readers apply and interpret quantitative methods, such as regression, factor, and cluster analysis. These methods help researchers provide companies with useful insights.

Multilevel and Longitudinal Modeling Using Stata, Volumes I and II

Author : S. Rabe-Hesketh
Publisher :
ISBN 13 : 9781597181365
Total Pages : 1098 pages
Book Rating : 4.1/5 (813 download)

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Book Synopsis Multilevel and Longitudinal Modeling Using Stata, Volumes I and II by : S. Rabe-Hesketh

Download or read book Multilevel and Longitudinal Modeling Using Stata, Volumes I and II written by S. Rabe-Hesketh and published by . This book was released on 2021-10-22 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Multilevel and Longitudinal Modeling Using Stata, Fourth Edition discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients in hospitals, or employees in firms. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent. Multilevel and longitudinal modeling can exploit the richness of such data and can disentangle processes operating at different levels. Assuming some knowledge of linear regression, this bestseller explains models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results. Across volumes, the 16 chapters, over 140 exercises, and over 110 datasets span a wide range of disciplines, making the book suitable for courses in the medical, social, and behavioral sciences and in applied statistics. This first volume is dedicated to models for continuous responses and is a prerequisite for the second volume on models for other response types. It has been thoroughly revised and updated for Stata 16. New material includes the Kenward-Roger degree-of-freedom correction for improved inference with a small number of clusters, difference-in-differences estimation for natural experiments, and instrumental-variable estimation to handle level-1 endogeneity"--

A Gentle Introduction to Stata, Revised Third Edition

Author : Alan C. Acock
Publisher : Stata Press
ISBN 13 : 9781597181099
Total Pages : 0 pages
Book Rating : 4.1/5 (81 download)

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Book Synopsis A Gentle Introduction to Stata, Revised Third Edition by : Alan C. Acock

Download or read book A Gentle Introduction to Stata, Revised Third Edition written by Alan C. Acock and published by Stata Press. This book was released on 2012-03-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated to reflect the new features of Stata 11, A Gentle Introduction to Stata, Third Edition continues to help new Stata users become proficient in Stata. After reading this introductory text, you will be able to enter, build, and manage a data set as well as perform fundamental statistical analyses. New to the Third Edition A new chapter on the analysis of missing data and the use of multiple-imputation methods Extensive revision of the chapter on ANOVA Additional material on the application of power analysis The book covers data management; good work habits, including the use of basic do-files; basic exploratory statistics, including graphical displays; and analyses using the standard array of basic statistical tools, such as correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion. Rather than splitting these topics by their Stata implementation, the material on graphics and postestimation are woven into the text in a natural fashion. The author teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. Each chapter includes exercises and real data sets are used throughout.

Practical Statistics

Author : David Kremelberg
Publisher : SAGE Publications
ISBN 13 : 150631791X
Total Pages : 529 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Practical Statistics by : David Kremelberg

Download or read book Practical Statistics written by David Kremelberg and published by SAGE Publications. This book was released on 2010-03-18 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

Statistical Power Analysis with Missing Data

Author : Adam Davey
Publisher : Routledge
ISBN 13 : 1135269300
Total Pages : 328 pages
Book Rating : 4.1/5 (352 download)

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Book Synopsis Statistical Power Analysis with Missing Data by : Adam Davey

Download or read book Statistical Power Analysis with Missing Data written by Adam Davey and published by Routledge. This book was released on 2009-08-20 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as: How missing data affects the statistical power in a study How much power is likely with different amounts and types of missing data How to increase the power of a design in the presence of missing data, and How to identify the most powerful design in the presence of missing data. Points of Reflection encourage readers to stop and test their understanding of the material. Try Me sections test one’s ability to apply the material. Troubleshooting Tips help to prevent commonly encountered problems. Exercises reinforce content and Additional Readings provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book’s application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus). Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. Routines, data sets, syntax files, and links to student versions of software packages are found at www.psypress.com/davey. The worked examples in Part 2 also provide results from a wider set of estimated models. These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions. Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book’s applied approach will also appeal to researchers in these areas. Sections covering Fundamentals, Applications, and Extensions are designed to take readers from first steps to mastery.

Multilevel Analysis

Author : Tom A. B. Snijders
Publisher : SAGE
ISBN 13 : 9780761958901
Total Pages : 282 pages
Book Rating : 4.9/5 (589 download)

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Book Synopsis Multilevel Analysis by : Tom A. B. Snijders

Download or read book Multilevel Analysis written by Tom A. B. Snijders and published by SAGE. This book was released on 1999 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.

Structural Equation Modeling for Social and Personality Psychology

Author : Rick H Hoyle
Publisher : SAGE Publications Ltd
ISBN 13 : 1446245209
Total Pages : 122 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Structural Equation Modeling for Social and Personality Psychology by : Rick H Hoyle

Download or read book Structural Equation Modeling for Social and Personality Psychology written by Rick H Hoyle and published by SAGE Publications Ltd. This book was released on 2011-02-15 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Equation Modeling offers a nontechnical presentation of SEM with an emphasis on applications in social and personality psychology. The presentation begins with a discussion of the relation between SEM and statistical strategies widely used in social and personality psychology such as analysis of variance, multiple regression analysis, and factor analysis. This introduction is followed by a nontechnical presentation of the terminology, notation, and steps followed in a typical application of SEM. The reminder of the volume offers a practically-oriented presentation of specific applications using examples typical of social and personality psychology and offering advice for dealing with relevant issues such as missing data, choice of software, and best practices for interpreting and reporting results. The SAGE Library in Social and Personality Psychology Methods provides students and researchers with an understanding of the methods and techniques essential to conducting cutting-edge research. Each volume within the Library explains a specific topic and has been written by an active scholar (or scholars) with expertise in that particular methodological domain. Assuming no prior knowledge of the topic, the volumes are clear and accessible for all readers. In each volume, a topic is introduced, applications are discussed, and readers are led step by step through worked examples. In addition, advice about how to interpret and prepare results for publication are presented.

Fixed Effects Regression Models

Author : Paul D. Allison
Publisher : SAGE Publications
ISBN 13 : 1483389278
Total Pages : 136 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Fixed Effects Regression Models by : Paul D. Allison

Download or read book Fixed Effects Regression Models written by Paul D. Allison and published by SAGE Publications. This book was released on 2009-04-22 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data. Learn more about "The Little Green Book" - QASS Series! Click Here

A Beginner's Guide to Structural Equation Modeling

Author : Randall E. Schumacker
Publisher : Psychology Press
ISBN 13 : 1135641919
Total Pages : 590 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis A Beginner's Guide to Structural Equation Modeling by : Randall E. Schumacker

Download or read book A Beginner's Guide to Structural Equation Modeling written by Randall E. Schumacker and published by Psychology Press. This book was released on 2004-06-24 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition features: a CD with all of the book's Amos, EQS, and LISREL programs and data sets; new chapters on importing data issues related to data editing and on how to report research; an updated introduction to matrix notation and programs that illustrate how to compute these calculations; many more computer program examples and chapter exercises; and increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues. The new edition's expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged.